Evidence map›Paper›PMID 24400277›Full record

ReviewFrontiers in pediatrics2013

Modeling single ventricle physiology: review of engineering tools to study first stage palliation of hypoplastic left heart syndrome.

Giovanni Biglino, Alessandro Giardini, Tain-Yen Hsia, Richard Figliola, Andrew M Taylor, Silvia Schievano, MOCHA Collaborative Group

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in pediatrics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

8 citing papers in PubMed, 20 citations in OpenAlex.

  1. Article
  2. Article
  3. Tunable Blood Shunt for Neonates With Complex Congenital Heart Defects.Frontiers in bioengineering and biotechnology · 2021
    Article
  4. Article
  5. Article
  6. Patient-specific parameter estimation in single-ventricle lumped circulation models under uncertainty.International journal for numerical methods in biomedical engineering · 2017
    Article
  7. Review
  8. Editorial: Univentricular Heart.Frontiers in pediatrics · 2015
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 1 institution in 1 country.

Giovanni BiglinoCentre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science , London , UK ; Cardiorespiratory Unit, Great Ormond Street Hospital for Children, NHS Foundation Trust , London , UK.
Alessandro GiardiniCardiorespiratory Unit, Great Ormond Street Hospital for Children, NHS Foundation Trust , London , UK.
Tain-Yen HsiaCardiorespiratory Unit, Great Ormond Street Hospital for Children, NHS Foundation Trust , London , UK.
Richard FigliolaDepartments of Bioengineering and Mechanical Engineering, Clemson University , Clemson, SC , USA.
Andrew M TaylorCentre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science , London , UK ; Cardiorespiratory Unit, Great Ormond Street Hospital for Children, NHS Foundation Trust , London , UK.
Silvia SchievanoCentre for Cardiovascular Imaging, UCL Institute of Cardiovascular Science , London , UK ; Cardiorespiratory Unit, Great Ormond Street Hospital for Children, NHS Foundation Trust , London , UK.
MOCHA Collaborative Group
Great Ormond Street Hospital for Children NHS Foundation Trust · GB

Funding

British Heart Foundation FS/12/35/29566Department of Health PDF-2012-05-430Department of Health SRF/01/018
6 · The paper itself

Abstract

First stage palliation of hypoplastic left heart syndrome, i.e., the Norwood operation, results in a complex physiological arrangement, involving different shunting options (modified Blalock-Taussig, RV-PA conduit, central shunt from the ascending aorta) and enlargement of the hypoplastic ascending aorta. Engineering techniques, both computational and experimental, can aid in the understanding of the Norwood physiology and their correct implementation can potentially lead to refinement of the decision-making process, by means of patient-specific simulations. This paper presents some of the available tools that can corroborate clinical evidence by providing detailed insight into the fluid dynamics of the Norwood circulation as well as alternative surgical scenarios (i.e., virtual surgery). Patient-specific anatomies can be manufactured by means of rapid prototyping and such models can be inserted in experimental set-ups (mock circulatory loops) that can provide a valuable source of validation data as well as hydrodynamic information. Such models can be tuned to respond to differing the patient physiologies. Experimental set-ups can also be compatible with visualization techniques, like particle image velocimetry and cardiovascular magnetic resonance, further adding to the knowledge of the local fluid dynamics. Multi-scale computational models include detailed three-dimensional (3D) anatomical information coupled to a lumped parameter network representing the remainder of the circulation. These models output both overall hemodynamic parameters while also enabling to investigate the local fluid dynamics of the aortic arch or the shunt. As an alternative, pure lumped parameter models can also be employed to model Stage 1 palliation, taking advantage of a much lower computational cost, albeit missing the 3D anatomical component. Finally, analytical techniques, such as wave intensity analysis, can be employed to study the Norwood physiology, providing a mechanistic perspective on the ventriculo-arterial coupling for this specific surgical scenario.

Indexed as

computational modelingexperimental modelingNorwood procedureshuntingsingle ventricle

Identifiers

PMID24400277
PMCPMC3864195
OpenAlexW1986504029

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.